BACHELOR THESIS - LOAD CONTROL AND SMART BATTERY SWITCHING OF A PORTABLE SOLAR GENERATOR (M/F/D)

fortiss is the research institute of the Free State of Bavaria for the development of software-intensive systems with headquarters in Munich. The scientists at the institute cooperate in research, development and transfer projects with universities and technology companies in Bavaria, Germany and Europe. The focus is on research into state-of-the-art methods, techniques and tools for the development of software- and AI-based technologies for dependable, secure cyber-physical systems such as the Internet of Things (IoT). fortiss is organized in the legal form of a non-profit limited liability company. Shareholders are the Free State of Bavaria (majority shareholder) and the Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. www.fortiss.org
 

Bachelor Thesis - Load Control and Battery Switching of a Portable Solar Generator (m/f/d)
 

As technology continues to advance, access to green and renewable energy such as solar energy is quickly gaining popularity. This is because green energy is more reliable and cleaner than most of the other power sources available. This makes it environment-friendly and capable of saving you money. Typically, a solar generator converts sun energy captured by solar panels into electrical power and then stores it in a battery. The stored power can then be utilized to power various appliances.

This thesis aims at building a rapid prototype of a smart and intelligent solar power generator with monitoring and control capabilities. Additionally, it also aims explore and address the challenges associated with battery stacking and charging multiple batteries with single solar panel.
 

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Your tasks: 

  • Prototypical implementation and evaluation
  • Controlling the loads using a predefined algorithm based on availability of stored energy and predicted load demand and generation.
  • Implementation of smart battery stacking  
  • Improve Monitoring and visualization dashboard
  • Evaluation of monitored data collected during testing period
 

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Your profile:

  • Studies of informatics or electrical engineering similar
  • Knowledge of Java, git, Maven
  • Experience with Raspberry Pi (of advantage)
  • Basic knowledge on hardware components like relays, cables etc.
  • Interest in energy-related topics
  • Excellent communication skills in English, basic skills in German is a plus


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Our offer:

  • Varied and future-oriented field of activity
  • Demanding activities in a research-intensive environment with international exchange opportunities
  • Dynamic and team-oriented working atmosphere
  • Space for new ideas, for assuming responsibility, as well as for personal and professional development
  • Cooperation with industry and the research facilities of the Technical University of Munich
  • Please note that this Bachelor thesis is not remunerated


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Did we catch your interest?

Please submit your application with a motivational statement, a detailed CV and a current transcript of records 



Job-ID: ASCI-ALL-BAM-01-2020

Contact: Dr. Markus Duchon